mypy
PyLint
flake8
SonarQube
PyFlakes
Pyright
PEP8
PyChecker
CodeClimate
SonarQube
Codacy
ESLint
CodeFactor.io
Coveralls
Source Insight
SensioLabs Insight
mypy CodeClimateBased on our record, mypy should be more popular than CodeClimate. It has been mentiond 50 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I've always admired many of Java's features, but let's not act like the reason for using Java for scripting is the pitfalls of Python. It's just because of an underlying preference for Java. 1. https://mypy-lang.org/. - Source: Hacker News / 5 months ago
I’m not here to tell people which languages they should love. But if you do find yourself writing production code in a dynamically typed language like Python, Ruby, or JavaScript, I would give serious consideration to opting into the type-checking tools that have become available in those ecosystems. In Python, consider requiring type hints and adding mypy checks to your CI to move your type safety bugs forward... - Source: dev.to / about 1 year ago
Mypy is "an optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing". As Python is dynamically typed, Mypy adds an extra layer of safety by checking types at compile time (based on type annotations conforming to PEP 484), catching potential errors before runtime. - Source: dev.to / over 1 year ago
Mypy stands as an essential static type-checking tool. Its primary function is to verify the correctness of types in your codebase. However, manually annotating types in legacy code can be laborious and time-consuming. - Source: dev.to / over 1 year ago
Lua is a great language for embedding, but one thing I wish it had was some form of optional type annotations that could be checked by a linter. Something like mypy for Lua would be super-useful. Source: almost 2 years ago
Vishal Shah, Sr. Technical Consultant at WPWeb Infotech, emphasizes this approach, stating, “The first step is to identify the bug by replicating the issue. Understanding the exact conditions that trigger the problem is crucial.” Shah’s workflow includes rigorous testing—unit, integration, and regression tests—followed by peer reviews and staging deployments. Data from GitLab’s 2024 DevSecOps Report supports this,... - Source: dev.to / 12 days ago
- code climate It’s like Sonarqube but doesn’t offer detailed reports and doesn’t support all languages, you can see it from here Https://codeclimate.com/. - Source: dev.to / 8 months ago
For open-source projects, many SaaS platforms offer free tiers for monitoring. For tracking code coverage, you can use Codecov or Coveralls. For tracking complexity, CodeClimate is a good option. These platforms integrate well with GitHub repositories. - Source: dev.to / 9 months ago
Codeclimate.com — Automated code review, free for Open Source and unlimited organisation-owned private repos (up to 4 collaborators). Also free for students and institutions. - Source: dev.to / over 2 years ago
Want to know how to enforce allowing only high-quality software into production? Check out this post on how to use CodeClimate can help you do just that! #DevOps #SoftwareDeveloper #softwaredevelopment #SoftwareEngineering #webdevelopment #codequality. Source: almost 3 years ago
PyLint - Pylint is a Python source code analyzer which looks for programming errors.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
flake8 - A wrapper around Python tools to check the style and quality of Python code.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
ESLint - The fully pluggable JavaScript code quality tool
PyFlakes - A simple program which checks Python source files for errors.